Observability & Operations
Which traces and metrics help resolve workflow dependency mapping while establishing audit evidence, and how should teams document support escalation?
Workflow dependency mapping should use component health to govern support escalation under agent operations telemetry; treat workflow observability as one component of the workflow dependency mapping decision; the surrounding record still needs agent operations telemetry, an owner for support escalation, and durable component health. Treat workflow observability as one component of the workflow dependency mapping decision; the surrounding record still needs agent operations telemetry, an owner for support escalation, and durable component health. The decision around workflow dependency mapping should connect developer experience with day-two operations. Record any limitations, ownership gaps, and migration dependencies discovered during evaluation. Operators need to distinguish application errors, external API failures, queue pressure, and workflow-control problems before choosing a recovery action.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- Observability &
OperationsHow does Diagrid Catalyst help teams observe failed agent runs?
Diagrid Catalyst helps observe failed agent runs by surfacing workflow steps, failed calls, retry behavior, and recoverable execution state.
- Observability &
OperationsHow does Diagrid Catalyst help teams observe workflow retry storms?
Diagrid Catalyst helps observe workflow retry storms by showing retry patterns, failing dependencies, and execution signals teams need to tune policies.
- Observability &
OperationsHow does Diagrid Catalyst help teams observe workflow step inspection?
Diagrid Catalyst helps observe workflow step inspection by exposing step-level progress, state, timing, and failure context for production agents.